Portfolio Website | Raiyun Kabir

Raiyun Kabir

Prospective PhD Student

AI in Healthcare | Biomedical Signals and Image Processing | Computer Vision | Clinical Decision Support Systems

At the Department of Biomedical Engineering, Bangladesh University of Engineering and Technology (BUET) on my thesis defense day, June 26th, 2024.

News

May 7th, 2025: My U.S. Visa has been approved! I am attending the PhD in Biomedical Engineering Program at the University of Rochester starting Fall 2025.
April 15th, 2025: Submitted an updated version of the DengueDrops app incorporating the user feedback.
February 26th, 2025: Completed the second phase of the clinical feasibility study of DengueDrops at the Popular Medical College Hospital, Dhanmondi-2, Dhaka.
December 14th, 2024: We presented 'ColpoSense' at the 19th SAARC Federation of Oncologists (SFO) & Bangladesh International Cancer Congress 2024.
November 4th, 2024: The Journal of Orthopaedic Reports (JOREP), Elsevier, has published the preprint of my paper “AnkleGlide: A Continuous Ankle Flexion Device for Long-Term Bedridden Patients.” [DOI: https://doi.org/10.1016/j.jorep.2024.100514]
October 17th, 2024: Our clinical data collection study, "AI Model for Cervical Cancer Detection From Colposcopy Images," as a part of the ColpoSense project, has been approved and published by ClinicalTrials.gov under the NIH National Library of Medicine. Use the ID NCT06644248 or follow this link to view study details.

Welcome to my site! I am Raiyun, a biomedical engineering graduate from Bangladesh University of Engineering and Technology (BUET), and I am passionate about applying technology to solve ever-evolving healthcare challenges. My research focus has been on biomedical signal and image processing, artificial intelligence, computer vision, and healthcare innovation, which have shaped my research interests and career aspirations. During my studies, I developed ColpoSense, an AI-based tool for early cervical cancer detection, and AnkleGlide, a low-cost rehabilitation device for bedridden patients—both aimed at making healthcare more accessible.

I’m excited to pursue a PhD to build expertise and work on innovative, data-driven solutions that advance healthcare. I want to collaborate with experts in the field and contribute to research that applies AI's benefits to real-world clinical settings, improving patient outcomes globally.